Principal Data Scientist

What you'll be doing…

As a Principal Data Scientist, you will drive profitable growth and business innovation by applying cutting‑edge machine learning techniques and advanced AI technology. You will spearhead high‑impact data science projects that revolutionize product personalization, marketing effectiveness, channel optimization, customer experience, and operational efficiency. Working closely with a talented team of data scientists, ML engineers, software developers, and business stakeholders, you will play a pivotal role in designing and delivering Verizon's next‑generation AI/ML solutions.

In this role, you will architect agentic AI solutions to elevate the customer experience, optimize offer personalization, and automate complex customer queries. You will develop predictive models to forecast customer behavior and business events, translating complex technical outcomes into strategic insights for partners across marketing, customer experience, and engineering teams.

To ensure peak performance, you will oversee the end‑to‑end development and operational lifecycle, diving into root causes to solve complex technical challenges. Your sharp judgment, technical expertise, and ability to bridge the gap between business problems and technical solutions will directly impact our bottom line.

Responsibilities

• Lead discussions with key business leaders to align data science initiatives with broader business strategies and identify new growth opportunities.
• Lead the design, development, and optimization of agentic AI, LLM, and machine learning/deep learning solutions.
• Partner with engineering teams to deploy models into production (both real‑time pipelines and batch processing) and systematically track model performance.
• Serve as a subject matter expert on agentic development, machine learning and predictive modeling, providing technical guidance and mentorship to junior data scientists.
• Drive technical excellence through active research and the practical application of emerging theories, tools, and technologies.

What we're looking for…

You are an analytical thinker who thrives in a collaborative, dynamic, and global environment. You are passionate about solving complex business problems using machine learning, building end‑to‑end analytical solutions, and presenting data‑driven insights to executive leadership. You are self‑motivated, eager to learn evolving technologies, and skilled at navigating cross‑functional teams to turn data into actionable business value.

Required Qualifications

• Bachelor’s degree or four or more years of work experience.
• Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
• Strong foundational knowledge in mathematics, statistics, physical sciences, engineering, or a related quantitative field.
• Experience developing and deploying AI agents end‑to‑end, with solid hands‑on knowledge of LLMs, RAG, LangChain, and LangGraph.
• Hands‑on programming experience in Python and SQL.
• Experience in machine learning/deep learning algorithms, including Transformer, transfer learning, NLP using Pytorch and scikit‑learning packages.
• Experience with data platforms such as Spark, Hadoop, BigQuery, Snowflake or others.
• Experience with GCP, AWS, or other cloud computing services.

Even better if you have one or more of the following:

• A Ph.D. in Computer Science, Engineering, Data Science, or a related field.
• Demonstrated success leading large‑scale data science projects from ideation through to production.
• Proven ability to leverage Hugging Face packages and apply the latest machine learning research from Git repositories to real‑world projects.
• Background in traditional software development practices and methodologies.
• Experience developing agentic solutions with Google ADK.
• Experience designing and scaling Recommendation and Ranking systems.
• Experience aligning marketing strategies with offer execution and measuring campaign effectiveness.
• Strong communication and interpersonal influencing skills.
• Excellent problem‑solving and critical‑thinking capabilities.

Where you’ll be working

In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.

Scheduled Weekly Hours

40

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.

Benefits and Compensation

Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award‑winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part‑timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

The salary will vary depending on your location and confirmed job‑related skills and experience. This is an incentive based position with the potential to earn more. For part‑time roles, your compensation will be adjusted to reflect your hours.

The annual salary range for the location(s) listed on this job requisition based on a full‑time schedule is: $120,500.00 - $231,000.00.